Artificial Intelligence with Industrial Experience (4 Years) [BSc]
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- UCAS course code
- UCAS institution code
- Degree awarded
- 4 years
- Number of places/applicants
- Data not available
- Typical A-level offer
- Grades AAA.
- Typical International Baccalaureate offer
- 37 points overall, with 6,6,6 in Higher Level subjects, including Mathematics.
- How to apply
- Apply through UCAS .
One of the challenges in computing is to make computers demonstrate intelligent behaviour, so that they can solve new problems or cope with the unknown. Current achievements include image and voice recognition, and NASA's Mars Rovers. By combining the study of artificial intelligence and traditional computing techniques with an understanding from psychology of how humans learn, these degree programmes prepare you for a career applying computing in challenging applications.
Artificial intelligence related topics covered include techniques for representing and reasoning about knowledge, including approaches in machine learning in which general patterns are learned from examples. These programmes give you the opportunity to study these techniques, and their application in areas such as computer vision, games, natural language processing and the semantic web.
This is a four year programme and involves you undertaking a one year work placement in industry between the second and third years of your study at Manchester. Besides the money that you earn during this year, you also gain practical experience that can be invaluable both in your final year project and when competing for graduate jobs. Students with industrial experience not only tend to improve their final degree performance but also tend to develop clearer ideas about their future career path.
Detailed programme and course unit information is available here
Tuition fees for home/EU students commencing their studies in September 2016 will be £9,000 per annum. Tuition fees for international students will be £20,000 per annum. For general information please see the undergraduate fees pages.
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